DocumentCode :
2970707
Title :
Improvement of Complex Field Network Coding for Cooperative Networks
Author :
Wang, Jing ; Liu, Xiangyang
Author_Institution :
Sch. of Inf. Eng., Chang´´an Univ., Xi´´an, China
fYear :
2010
fDate :
13-14 Oct. 2010
Firstpage :
176
Lastpage :
179
Abstract :
Complex field network coding (CFNC) is a new network coding approach proposed to improve network throughput and achieve full diversity gain in wireless networks. In view of that CFNC in cooperative networks with parallel relays leads to larger transmission delay and detection complexity at destination nodes, an improved CFNC scheme for(NS,NR,1) cooperative network is presented. More specifically, NS sources send signals to NR relays and destination simultaneously in time slot 1. In time slot 2, each relay detects and encodes the NS source symbols with network coding, and then NR relays send the NR coded symbols to destination simultaneously. Based on the symbols received from sources and relays in two time slots, joint maximum likelihood detection is adopted at destination to obtain the NS source symbols. Theoretic analysis demonstrate that, the improved CFNC scheme can obtain the same network throughput and diversity gain as CFNC, while it can decrease the transmission delay of source symbols, and reduce the detection complexity of destination.
Keywords :
diversity reception; maximum likelihood detection; network coding; NR coded symbols; NR relays; NS source symbols; complex field network coding; cooperative networks; destination nodes; detection complexity; full diversity gain; joint maximum likelihood detection; network throughput; parallel relays; transmission delay; wireless networks; Complexity theory; Delay; Diversity methods; Maximum likelihood detection; Network coding; Relays; Throughput; complex field network coding; cooperative network; parallel relay;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Intelligence Information Security (ICCIIS), 2010 International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-8649-6
Electronic_ISBN :
978-0-7695-4260-7
Type :
conf
DOI :
10.1109/ICCIIS.2010.17
Filename :
5629222
Link To Document :
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